Welcome 2017-2018 Cohort!!!
- Sanjoosh Akkineni
- Andrew Henshaw
- Morong Huang
- Liyuan Liu
- Mohammed Masum
- Dianna Spence
- Lauren Staples
Bio: Received his B. Sc. in Computer Science from India and M. Sc. in Computer Science with concentration in Data Analytic from Kennesaw State University 2017. His primary research interests are in Health Care and Government (Not finite to these as he is still exploring his research interests) to build an appropriate data framework that can utilize advanced analytic means to aggregate data effectively to gain in depth insights. During his M. Sc. he worked as a Graduate Research Assistant in the development of research instruments, compile and analyze data. Facilitate projects in an office with other students; provide assistance with supervision of undergraduate students and grader for C++ and Date Structures. He is also an active student body member, he is the President of Graduate Student Association (2016-Present) and is also a board member on several other student bodies, served as the graduate student representative on numerous campus committees for which he was recognized as Student of the Year Finalist-Division of Student Affairs and Graduate Student Involvement Award-International Student Association, Kennesaw State University 2016-2017. He also got his Law Enforcement Training 2017, Citizens Police Academy, KSU Police Department. In his leisure he likes to spend time with family and friends, keeps himself updated on current affairs, workout and watch documentaries.
Bio: I’m a Ph.D. candidate in Analytics and Data Science at Kennesaw State University. I received my M.S. in Analytics from J. Mack Robinson College of Business at Georgia State University, M.A. in Financial Economics from University of Detroit and B.B.A. in Human Resource Management from the Nanjing University of Information Science & Technology. While in the M.S. Analytics Program, I worked as a research assistant in the Institute for Insight, the project I worked with is a corporate governance project, which implements many advances in machine learning to make sense of companies business environment. I had two years work experience as Training Specialist and Project Manager in an Animation Company in China. The Hollywood film project brought me more communication and professional management skills. Currently, my research interests lie in HR Analytics and Applications of Marketing field. I certified SAS Base Programmer, SAS Advanced Programmer, SAS Statistical Business Analyst. In my leisure time, I love play accordion and Zumba dance.
Bio: I have 10+ years of experience as a software engineer, and another 10+ years as a tenure-track faculty member in both the Mathematics and Computer Science departments at University of North Georgia (UNG), where I have most recently held the rank of professor and served as department head. I hold a B.A. in Mathematics from the College of William and Mary; an M.S. in Computer Science from Georgia State University; and a Ph.D. in Mathematics Education from Emory University. My recent professional activity has included serving annually as a grader for the Advanced Placement (AP) Statistics Exam; teaching an undergraduate special topics course on statistical programming with R; and serving as co-PI and PI on two multi-year NSF grants focused on statistics education*. My ever-evolving research interests currently include data visualization and applications of computer-based statistical simulations in two contexts: statistics teaching & learning in academic settings, and prediction & estimation in industry settings (e.g., Monte Carlo methods). My leisure time interests are diverse and include world travel, playing cards & board games, choral singing, piano playing, movies, hiking, Pilates, SCUBA diving, and supporting the Atlanta Falcons as a season ticket holder since 1998.
Bio: I recently changed careers from engineering to statistics, but look forward to any overlap and influence that my engineering skills may have in my future work as a data analyst. I have a MS in Statistics from the University of New Hampshire, and a BS in Biosystems Engineering from Clemson University. My Master's project was predictive modeling with case/control GWAS data. My research interests are currently in machine learning, predictive modeling, and instrumentation/control system design, but that is certainly not an exhaustive list! My hobbies outside of data analytics include snorkeling the fresh water springs in Florida, camping, and "voluntourism."
Bio: I am a Ph.D. candidate in Analytics and Data Science at Kennesaw State. I have a M.S. in Industrial Engineering from NC State University and a B.S. in Mechanical Engineering from Anna University. Prior to entering the Ph.D. program I worked as a graduate engineer at hind high vacuum which specializes in the manufacture of satellite components and solar panels. My research interests include machine learning (more specifically deep learning) and distributed computing. Outside of school, I enjoy backpacking and reading fiction.
Bio: I am currently working toward my doctoral degree in Analytics and Data Science. I have a passion for data and the unique capabilities that create opportunities from insights gained from expert analysis. My current research interests include Data Mining, Web Analytics and Mining, Data Visualization, and Machine Learning. I hold a BS and MS in Aircraft Mechanical Engineering from the National Aviation University, Kiev, Ukraine; an MS in Aerospace Engineering from Georgia Institute of Technology; an MBA in Business Management and an MS in Strategic Management from Indiana University. Most recently, I completed an MS in Computer Information Systems from Boston University. I am also a Certified Lean Six Sigma Master Black Belt. Professionally, I have had the opportunity to work in a number of functional areas, including research and development, engineering, manufacturing, process improvement, program management, etc. I have held various staff, managerial and leadership positions in business and technical domains in the industrial, automotive, aviation, aerospace, and defense industries. Outside of academic and professional endeavors, I enjoy travelling, watching and playing some sports, and learning from the unique experiences of people from various ethnic and cultural backgrounds. I also serve in my local church. I endeavor not to pass off any opportunity to learn something new and challenging, in both structured and unstructured environments.
Bio: Jessica received a B.A. in Anthropology from Emory University and an M.P.H in Global Epidemiology from the Rollins School of Public Health at Emory University. She has over 6 years’ experience as an Epidemiologist/Biostatistician for the Division of Viral Diseases at the Centers for Disease Control and Prevention, and is a certified Graduate Statistician (GStat) with the American Statistical Association, as well as certified SAS® Base Programmer. As a Ph.D. student in Analytics and Data Science her research focus is on machine learning algorithms for disease classification and non-parametric models. She’s an active member of the Atlanta Track Club and a Run Lead for their In-Training Programs, and enjoys marathons, ultramarathons, and triathlons. Her and her husband enjoy traveling and adventure sports.
Bio: I received a bachelor's degree in pharmacy from China Pharmaceutical University and a master's degree in statistics from the University of Georgia. During my master's study, I enjoyed teaching undergraduates as a graduate teaching assistant as well as working as a graduate consulting assistant in the Statistical Consulting Center. Now I am a Ph.D. student in Analytics and Data Science program at Kennesaw State University. My research interest focuses on the applications of big data, data mining and machine learning techniques to the economics and finance areas. Outside school, I like watching movies, traveling, running, and cuisine.
Bio: Lili has research and work experiences in the area of data mining, cloud computing, and operations research. She is interested in developing solutions with model formulation, algorithm design, and implementation skills. She has developed solutions for multiple real-world problems in the industry of software, energy, transportation, and econometrics, with additional techniques of database, full stack web development, and system development. Prior to joining the program, she has worked as a research associate at the Hong Kong Polytechnic University. She has M.S. degree in Industrial Engineering from University of Tennessee and B.S. degree in Electronic Information Science and Technology from Central South University, China. She is also certified SAS Base Programmer, SAS Advanced Programmer, SAS Statistical Business Analyst, and Predictive Modeler using SAS Enterprise Miner 7. In her leisure time, she likes reading and traveling.
Bio: I am a Doctoral Candidate in Analytics and Data Sciences. After graduated from Chongqing University of Posts and Telecommunications with Bachelor of Science in Computer Science, I received my Master degree in financial economics from the University of Detroit Mercy and also studied in the Master of Science in Analytics program at the J. Mack Robinson College of Business at Georgia State University. I have three years working experience in bank industry as risk control analyst and one-year research experience at the Institute for Insight as a graduate research assistant, focusing on the institute’s health care plan project. I have Base and Advanced SAS Certification. My primary research focus is machine learning models and algorithms for big data, especially in marketing analytics and sports analytics. Outside of school, I enjoy basketball and Shonen Jump.
Bio: My primary research focus is on Statistical Models in the Finance and Insurance Industry. Specifically, I am interested in the application of Machine Learning, Predictive and Stochastic Modelling techniques in Finance and Insurance. I received my B.A. in Mathematics from Brooklyn College and then went on to work for Citadel Investment Group, where I specialized in the analysis of financial trading data. While at Brooklyn College, I was a research scholar in the area of Cryptography and Number Theory under the guidance of a senior professor in the CUNY system of New York. Recently, I graduated from Rutgers University with a Masters in Quantitative Finance and became a Market Analyst for Intercontinental Exchange, a global network of exchanges and clearing houses, where I analyzed daily trading data to settle prices of financial instruments.
Bio: I am a Ph.D. student in the Department of Statistics and Analytical Sciences. Education: M.S. Information Technology, Southern Polytechnic State University in 2014 and B.S. Computer Science from Academy of Economic Studies of Moldova in 2008. Work experience: Data Scientist intern at Coca-Cola Enterprises. Integration Engineer co-op student at Cox Communication. Senior System Engineer for SunTrust Bank. Research Interests: My research interests are focused in the area of Big Data, Data Science and Analytics as follow: Data mining; Cognitive Analytics; Machine learning; Cluster Analysis; Interactive Analysis; Big Data Visualization; Large-scale systems and Cognitive computing systems. Outside of school I like to read, coding, play tennis, biking or running and eating healthy food.
Bio: I am a Ph.D. candidate in Analytics and Data Science at Kennesaw State University. I have an MS in Applied Statistics from Kennesaw State and a B.S. in Industrial Engineering from Georgia Tech. Prior to entering the Ph.D. Program, I worked as an implementation engineer at Noble Systems, which specializes in telecommunication solutions for call centers. I also worked as an intern at SunTrust Bank validating and standardizing risk models. While in the Master's program at KSU, I enjoyed teaching undergraduate courses in algebra and elementary statistics as a graduate teaching assistant. In 2014, I was honored by the SAS Institute as a winner of the National Analytics Research Poster Competition. I have a Base SAS Programming Certification and a SAS Statistical Business Analyst Certification. My research interests include visualizations of Big Data and applications of applied mathematics. Outside of school, I enjoy playing basketball and skiing.
Bio: Jie Hao is currently a first year doctoral student in Analytics and Data Science at Kennesaw State University (KSU). Prior to beginning the PhD program, she received her MS in Mathematics at East Tennessee State University and BS in Statistics (First Class) from North China University of Technology. Jie is still exploring her research interests. In her spare time she enjoys traveling with friends.
Bio: Graduated from Hanoi University of Science and Technology with the Engineer degree in Computer Network and Telecommunication, I was then accepted into Marshall University where I got my Master degree in Information Systems. Currently, my research interests lie in designing and building systems including databases and data warehouses; I am also interested in applying big data and data mining in science research. Outside school, I enjoy Kendo (Japanese swordsmanship) and playing guitars.
Bio: I’m a 20+ year professional in the field that we now call “Data Science”, with a Master of Science Degree in Applied Mathematics. Over the years, I’ve developed extensive experience using data and advanced analytics to answer business questions. Much of my professional success comes from an ability to deeply understand business and business questions, then translate that understanding into opportunities to develop high impact data driven actionable insights. Through the years, I’ve developed a fundamental operating principle that in most cases, data development and preparation is as important (if not more) than the selection of the correct analytic method. To this end, my research and professional interests focus on opportunities to build an appropriate data infrastructure that can utilize new analytic tools to apply fundamental analytic tools to deliver actionable insights with minimal intervention from trained statisticians. The ultimate goal of this focus is to free up talented, highly trained analytics professionals, to focus on complex problems, where their talents are in high demand.